ORIGINAL RESEARCH article
Front. Earth Sci.
Sec. Solid Earth Geophysics
Volume 13 - 2025 | doi: 10.3389/feart.2025.1526835
This article is part of the Research TopicAdvances in Magnetotelluric ImagingView all 11 articles
Identification and Parameter Estimation for Electrical Anisotropy in Two-Dimensional Magnetotelluric Models
Provisionally accepted- 1China University of Geosciences Wuhan, Wuhan, China
- 2Hainan Investigation Institute of Hydrogeology and Engineering Geology, Haikou, China
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When the subsurface media contain electrical anisotropic structure, magnetotelluric isotropic inversion fails to recover the electrical anisotropic structure and may distort the image of isotropic structures. Besides, due to the diversity and uncertainty in inversion caused by multi-parameterization, mature and practical anisotropic inversion procedure is lacking at the case with anisotropic angle. Here, four two-dimensional models were constructed with mixed electrical anisotropic / isotropic structures including azimuthal anisotropy case. Phase tensor and real induction vector analyses, as well as two-dimensional isotropic and one-dimensional anisotropic inversions, were performed to identify and estimate the electrical anisotropic parameters. Based on the equivalence concept of electrical anisotropy, the extracted anisotropic structure was equivalent to isotropic structure with alternating high-and low-resistivity anomalies. These equivalent anomalies were then added into twodimensional isotropic inversion as a priori information. Consequently, the isotropic structure of the true model is well recovered. The proposed method can identify and estimate the electrical anisotropy structure as well as the isotropic structure to a certain extent in two-dimensional magnetotelluric models. This study provides a novel approach for analyzing electrical anisotropy in magnetotelluric data.
Keywords: Magnetotellurics, Electrical anisotropy, IDENTIFICATION, equivalence, Recovery Magnetotellurics, Recovery
Received: 12 Nov 2024; Accepted: 14 Apr 2025.
Copyright: © 2025 Ji, Xu, Huang, Zhao and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Ying Liu, China University of Geosciences Wuhan, Wuhan, China
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